Optimization-Based Recognition

SRI has been a pioneer in the development of optimization algorithms
for visual recognition in which an objective function is optimized to
determine its best fit with image data. We have used these algorithms
for finding roads, buildings, vegetation, and rivers, in aerial and
ground-level outdoor imagery. The ability to fit a deformable object
model to multiple images simultaneously, and the employment of
continuation methods to avoid local minima, are examples of our
advances.